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MiuN2k3
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mtl-xlmr-base-viwiki-v2

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roberta
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  1. README.md +19 -19
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,21 +1,21 @@
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  ---
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  license: mit
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- base_model: xlm-roberta-large
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: mtl-xlmr-large-dsc-v2
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # mtl-xlmr-large-dsc-v2
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- This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2257
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  ## Model description
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@@ -35,8 +35,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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- - train_batch_size: 8
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- - eval_batch_size: 4
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:-----:|:---------------:|
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- | 0.4901 | 1.0 | 3087 | 0.5458 |
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- | 0.5308 | 2.0 | 6174 | 0.4982 |
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- | 0.39 | 3.0 | 9261 | 0.5104 |
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- | 0.1466 | 4.0 | 12348 | 0.6800 |
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- | 0.075 | 5.0 | 15435 | 0.6820 |
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- | 0.2699 | 6.0 | 18522 | 0.7831 |
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- | 0.1868 | 7.0 | 21609 | 0.9032 |
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- | 0.3338 | 8.0 | 24696 | 1.0255 |
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- | 0.0001 | 9.0 | 27783 | 1.1477 |
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- | 0.0001 | 10.0 | 30870 | 1.2257 |
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  ### Framework versions
 
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  ---
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  license: mit
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+ base_model: xlm-roberta-base
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: mtl-xlmr-base-viwiki-v2
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # mtl-xlmr-base-viwiki-v2
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+ This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6919
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.7756 | 1.0 | 960 | 0.7972 |
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+ | 0.6104 | 2.0 | 1920 | 0.6775 |
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+ | 0.5942 | 3.0 | 2880 | 0.6227 |
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+ | 0.6037 | 4.0 | 3840 | 0.6349 |
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+ | 0.5208 | 5.0 | 4800 | 0.5975 |
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+ | 0.347 | 6.0 | 5760 | 0.6008 |
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+ | 0.415 | 7.0 | 6720 | 0.6142 |
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+ | 0.3473 | 8.0 | 7680 | 0.6252 |
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+ | 0.3312 | 9.0 | 8640 | 0.6748 |
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+ | 0.2134 | 10.0 | 9600 | 0.6919 |
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  ### Framework versions
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